Weighted Gene Co-expression Network Analysis;
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Updated
Aug 14, 2024 - R
Weighted Gene Co-expression Network Analysis;
Code for the (unpublished) paper ( Regulation of autophagy in response to oxidative stress)
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
Experimental code for analysis of miRNA expression in C2C12 vs. in vivo mice cells
Parkinson's and drug repurposing analysis using WGCNA and Cytoscape. Data at: https://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GDS2821
Code for Walker, Saunders, Rai et al., (2021).
Differential Expression Analysis of protein, Gene set enrichment analysis, Multi-omic factor analysis, Pathway analysis, WGCNA
Online app for WGCNA Analysis
This repository contains a Script for WGCNA based on the Tutorial of WGCNA page
The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).
Wrapper R scripts for performing a weighted-gene co-expression network analysis (WGCNA)
Gene expression and network analysis for multiple RNA-seq datasets associated with heat-stress in abalone
Repository for all R scripts and results associated with my research dissertation for the MSc Bioinformatics and Computational Biology degree in University College Cork, 2022.
Multivariate Analysis Using Co-Expression Network Modeling Identifies Specific Inflammation and Diffusion MRI Features in Major Depressive Disorder
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